Table 1 Input variables for the machine learning models.
S/N | Input variable | Description |
|---|---|---|
1 | Age | Age in years at the start of treatment. |
2 | Body mass index (BMI) | Calculated from height and weight (kg/m2). |
3 | Pretreatment lumbar curve | Measured in degrees via X-rays |
4 | Pretreatment SBA | Measured in degrees via X-rays. |
5 | Pretreatment NRS pain score | Ranging from 0 to 10. |
6 | Pretreatment ODI | Self-reported measure of disability (%). |
7 | Pretreatment Fit Type | Categorized as: low fit, high fit, and normal fit. |
8 | Frequency of traction | Number of sessions per week. |
9 | Duration of traction | Total weeks of lumbar extension traction therapy. |
10 | Compliance | Percentage of recommended sessions attended. |
